Data Analyst

Yeshwanth Vudugu

Data Analyst

+1-213-***-**** *****************@*****.*** Memphis, TN - 38111 LinkedIn SUMMARY

• Data Analyst with 3+ years of experience delivering data solutions and optimizing workflows, resulting in a 15% productivity boost.

• Expertise in healthcare provider data, ensuring compliance and accuracy.

• Skilled in data visualization, modeling, and mining techniques using SQL Server, MySQL, Power BI, and Tableau.

• Proficient in Git and GitHub for collaborative development and version control.

• Experienced in leveraging cloud technologies, including AWS and Snowflake, for scalable data solutions.

• Adept at transforming raw data into actionable insights, driving business efficiency and informed decision-making. SKILLS

Methodology: SDLC, Agile, Waterfall

Language: SQL, Python, R, Spark

IDEs: Visual Studio Code, PyCharm, Jupyter Notebook Packages: NumPy, Pandas, Scikit-learn, ggplot2, ArcGIS and Plotly, Matplotlib and Seaborn

Visualization Tools: Tableau, Power BI

ETL Tools: Alteryx, SSIS

Cloud Technology: AWS (S3, EC2, VPC), CloudWatch,

CodeCommit

Tools: MS Excel (HLOOKUPs, Pivot Tables), MS Visio Databases: MySQL, SQL Server, Oracle, MongoDB

Data Warehouse: Snowflake

Other Skills: Data Cleaning, Data Wrangling, Statistics Operating System: Windows, Linux, Mac

EDUCATION

Masters in Data Science Jan 2023 – May 2024

The University of Memphis, 3720 Alumni Ave, Memphis, TN – 38152 Bachelors in Electronics and Communications Engineering Aug 2017 – May 2021 Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India – 501506 EXPERIENCE

Data Analyst, State Street, USA Jun 2024 – Present

• Engineered dynamic Power BI dashboards that enhanced financial data accessibility by 90%, empowering executives with real-time insights.

• Optimized machine learning models for financial predictions, achieving 80% accuracy and enhancing patient care insights.

• Designed ETL workflows with Alteryx and SSIS, streamlining data transformation and processing.

• Monitored data pipelines with AWS CloudWatch, cutting processing delays by 30% and ensuring seamless data flow.

• Built predictive analytics models using time series forecasting, improving trend analysis and risk assessments.

• Applied Pandas, NumPy, and Scikit-learn for machine learning, optimizing financial predictions.

• Strengthened data governance, ensuring compliance with financial regulations and enhancing security.

• Optimized SQL queries, cutting execution time by 40% and improving data retrieval speed.

• Automated data validation and anomaly detection, reducing inconsistencies and increasing accuracy by 30%.

• Collaborated with finance, risk, and IT teams to develop analytics solutions, improving cross-departmental decision- making.

Data Analyst, Aplus Datalytics, India Jun 2020 – Dec 2022

• Automated Power BI report generation, increasing data availability and efficiency.

• Integrated SAP Business Objects with Alteryx for advanced reporting and decision-making insights.

• Enhanced Tableau dashboards, reducing manual reporting time by 10 hours per week and improving visibility into business processes.

• Implemented machine learning techniques for predictive analysis, achieving 60% accuracy.

• Improved cost efficiency by 90% while optimizing decision-support reporting.

• Used Plotly and ArcGIS for financial data visualization, improving stakeholder engagement by 20%.

• Managed financial reports using HLOOKUPs, VLOOKUPs, and Pivot Tables, reducing manual reporting by 22%.

• Streamlined SQL and Python-driven financial data analysis, improving extraction and processing time by 20%.

• Applied JIRA for project tracking, aligning tasks 100% with project timelines.

• Integrated SAP Business Objects with Alteryx to enhance business insights and reporting.

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